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Introduction to Neural Networks and PyTorch - IBM

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  Introduction to Neural Networks and PyTorch Instructor:  Joseph Santarcangelo Data Science   >   Machine Learning   > There are 6 modules in this course:   PyTorch is one of the top 10 highest paid skills in tech (Indeed). As the use of PyTorch for neural networks rockets, professionals with PyTorch skills are in high demand. This course is ideal for AI engineers looking to gain job-ready skills in PyTorch that will catch the eye of an employer. AI developers use PyTorch to design, train, and optimize neural networks to enable computers to perform tasks such as image recognition, natural language processing, and predictive analytics.  During this course, you’ll learn about 2-D Tensors and derivatives in PyTorch. You’ll look at linear regression prediction and training and calculate loss using PyTorch. You’ll explore batch processing techniques for efficient model training, model parameters, calculating cost, and performing gradie...
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Intro to Predictive Analytics Using Python - University of Pennsylvania

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  Intro to Predictive Analytics Using Python  - a course by the University of Pennsylvania  My dairy about the journey of studies: Instructor: Brandon Krakowsky Coursera Course -  Intro to Predictive Analytics Using Python   Intro to Predictive Analytics Using Python - 3 Modules There are 3 modules in this course "Introduction to Predictive Analytics and Advanced Predictive Analytics Using Python" is specially designed to enhance your skills in building, refining, and implementing predictive models using Python. This course serves as a comprehensive introduction to predictive analytics, beginning with the fundamentals of linear and logistic regression. These models are the cornerstone of predictive analytics, enabling you to forecast future events by learning from historical data. We cover a bit of the theory behind these models, but in particular, their application in real-world scenarios​ and the process of evaluating their performance​ to ensure accuracy and ...
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